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Revision 1.9, Tue Mar 25 02:25:26 2014 UTC (10 years, 5 months ago) by takayama
hgm.se.hgm function is added. hgm.Rhgm.demo1() shows an example. The source of this demo is in se_demo.R (commit by a proxy of Tomonari Sei) |
Package: hgm Type: Package Depends: R (>= 2.6.0) Depends: deSolve Title: Holonomic gradient method and gradient descent Version: 1.6 Date: 2014-03-25 Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp> Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization constants of unnormalized probability distributions by utilizing holonomic systems of differential equations. The holonomic gradient descent (HGD, hgd) gives a method to find maximal likelihood estimates by utilizing the HGM. License: GPL-2 LazyLoad: yes URL: http://www.openxm.org